Datacenter PUE
Power Usage Effectiveness metrics across global cloud datacenters
Datacenters
104
104 of 104 total
Average PUE
1.18
PUE closer to 1.0 is better
Best PUE
1.04
Lancaster, Ohio
Eco Leaders
73
Datacenters with PUE < 1.2
Global Datacenter Efficiency Map
Explore datacenter locations and their PUE ratings worldwide
Datacenter Efficiency Table
Compare PUE and WUE metrics across all datacenters
| Provider | Datacenter | Region | PUE | WUE (L/kWh) | Rating |
|---|---|---|---|---|---|
 Google Cloud Platform | Lancaster, Ohio | us-east5-b | 1.04 | N/A | Excellent |
| Google Cloud Platform | Columbus, Ohio | us-east5 | 1.06 | N/A | Excellent |
| Google Cloud Platform | New Albany, Ohio | us-east5-c | 1.06 | N/A | Excellent |
 Amazon Web Services | Melbourne | ap-southeast-4 | 1.07 | 0.02 | Excellent |
| Google Cloud Platform | The Dalles, Oregon 2 | us-west1-b | 1.07 | N/A | Excellent |
| Google Cloud Platform | Eemshaven, Netherlands | europe-west4 | 1.07 | N/A | Excellent |
| Google Cloud Platform | Fredericia, Denmark | europe-north1-b | 1.07 | N/A | Excellent |
| Google Cloud Platform | Loudoun County, Virginia | us-east4 | 1.08 | N/A | Excellent |
| Google Cloud Platform | Montréal, Québec | northamerica-northeast1 | 1.08 | N/A | Excellent |
| Google Cloud Platform | St. Ghislain, Belgium | europe-west1 | 1.08 | N/A | Excellent |
| Google Cloud Platform | Zürich | europe-west6 | 1.08 | N/A | Excellent |
| Google Cloud Platform | Council Bluffs, Iowa 2 | us-central1-b | 1.08 | N/A | Excellent |
| Google Cloud Platform | Dublin, Ireland | europe-west1-b | 1.08 | N/A | Excellent |
| Google Cloud Platform | Loudoun County, Virginia 2 | us-east4-b | 1.08 | N/A | Excellent |
| Amazon Web Services | Spain | eu-south-2 | 1.09 | 0.24 | Excellent |
| Google Cloud Platform | Las Vegas | us-west4 | 1.09 | N/A | Excellent |
| Google Cloud Platform | Toronto | northamerica-northeast2 | 1.09 | N/A | Excellent |
| Google Cloud Platform | Quilicura, Chile | southamerica-west1 | 1.09 | N/A | Excellent |
| Google Cloud Platform | London | europe-west2 | 1.09 | N/A | Excellent |
| Google Cloud Platform | Frankfurt | europe-west3 | 1.09 | N/A | Excellent |
| Google Cloud Platform | Paris | europe-west9 | 1.09 | N/A | Excellent |
| Google Cloud Platform | Sydney | australia-southeast1 | 1.09 | N/A | Excellent |
| Google Cloud Platform | Douglas County, Georgia | us-east1-b | 1.09 | N/A | Excellent |
| Google Cloud Platform | Henderson, Nevada | us-west4-b | 1.09 | N/A | Excellent |
| Google Cloud Platform | Papillion, Nebraska | us-central1-d | 1.09 | N/A | Excellent |
| Amazon Web Services | Stockholm | eu-north-1 | 1.10 | 0.02 | Excellent |
| Google Cloud Platform | The Dalles, Oregon | us-west1 | 1.10 | N/A | Excellent |
| Google Cloud Platform | Salt Lake City | us-west3 | 1.10 | N/A | Excellent |
| Google Cloud Platform | Berkeley County, SC | us-east1 | 1.10 | N/A | Excellent |
| Google Cloud Platform | Midlothian, Texas | us-south1 | 1.10 | N/A | Excellent |
| Google Cloud Platform | Hamina, Finland | europe-north1 | 1.10 | N/A | Excellent |
| Google Cloud Platform | Warsaw | europe-central2 | 1.10 | N/A | Excellent |
| Google Cloud Platform | Milan | europe-west8 | 1.10 | N/A | Excellent |
| Google Cloud Platform | Tokyo | asia-northeast1 | 1.10 | N/A | Excellent |
| Google Cloud Platform | Osaka | asia-northeast2 | 1.10 | N/A | Excellent |
| Google Cloud Platform | Jackson County, Alabama | us-east1-c | 1.10 | N/A | Excellent |
| Google Cloud Platform | Lenoir, North Carolina | us-east1-d | 1.10 | N/A | Excellent |
| Google Cloud Platform | Montgomery County, Tennessee | us-central1-c | 1.10 | N/A | Excellent |
| Amazon Web Services | Ireland | eu-west-1 | 1.11 | 0.03 | Excellent |
| Google Cloud Platform | Los Angeles | us-west2 | 1.11 | N/A | Excellent |
| Google Cloud Platform | Council Bluffs, Iowa | us-central1 | 1.11 | N/A | Excellent |
| Amazon Web Services | Oregon | us-west-2 | 1.12 | 0.16 | Excellent |
 Microsoft Azure | Wyoming | westus3 | 1.12 | 0.16 | Excellent |
| Google Cloud Platform | São Paulo | southamerica-east1 | 1.12 | N/A | Excellent |
| Google Cloud Platform | Mayes County, Oklahoma | us-central2 | 1.12 | N/A | Excellent |
| Amazon Web Services | Ohio | us-east-2 | 1.13 | 0.10 | Excellent |
| Microsoft Azure | Arizona | westus | 1.13 | 1.52 | Excellent |
| Google Cloud Platform | Changhua County, Taiwan | asia-east1 | 1.13 | N/A | Excellent |
| Google Cloud Platform | Jurong West, Singapore | asia-southeast1 | 1.13 | N/A | Excellent |
| Amazon Web Services | London | eu-west-2 | 1.14 | N/A | Excellent |
| Microsoft Azure | Virginia | eastus | 1.14 | 0.18 | Excellent |
| Microsoft Azure | Netherlands | westeurope | 1.14 | 0.04 | Excellent |
| Google Cloud Platform | Inzai, Japan | asia-northeast1-b | 1.14 | N/A | Excellent |
| Google Cloud Platform | Singapore 2 | asia-southeast1-b | 1.14 | N/A | Excellent |
| Amazon Web Services | Paris | eu-west-3 | 1.15 | N/A | Excellent |
| Amazon Web Services | N. Virginia | us-east-1 | 1.15 | 0.12 | Excellent |
| Google Cloud Platform | Storey County, Nevada | us-west4-c | 1.15 | N/A | Excellent |
| Amazon Web Services | Sydney | ap-southeast-2 | 1.16 | 0.12 | Excellent |
| Microsoft Azure | Iowa | centralus | 1.16 | 0.10 | Excellent |
| Microsoft Azure | UK South | uksouth | 1.16 | 0.25 | Excellent |
| Microsoft Azure | Sweden | swedencentral | 1.16 | 0.05 | Excellent |
| Microsoft Azure | Washington | westus2 | 1.16 | 0.70 | Excellent |
| Amazon Web Services | São Paulo | sa-east-1 | 1.17 | 0.23 | Excellent |
| Amazon Web Services | Canada West | ca-west-1 | 1.17 | 0.08 | Excellent |
| Amazon Web Services | Milan | eu-south-1 | 1.18 | N/A | Excellent |
| Amazon Web Services | N. California | us-west-1 | 1.18 | 0.51 | Excellent |
| Microsoft Azure | Ireland | northeurope | 1.18 | 0.02 | Excellent |
| Microsoft Azure | Germany | germanywestcentral | 1.18 | 0.30 | Excellent |
| Amazon Web Services | Canada Central | ca-central-1 | 1.19 | 0.04 | Excellent |
| Microsoft Azure | Poland | polandcentral | 1.19 | 0.44 | Excellent |
 OVHcloud | Strasbourg | SBG | 1.19 | 0.39 | Excellent |
| OVHcloud | Erith | UK1 | 1.19 | 0.18 | Excellent |
| OVHcloud | Limburg | DE1 | 1.19 | 0.21 | Excellent |
 Scaleway | AMS3 Amsterdam | nl-ams-3 | 1.20 | N/A | Good |
| OVHcloud | Gravelines | GRA | 1.21 | 0.20 | Good |
| OVHcloud | Beauharnois | BHS | 1.21 | 0.86 | Good |
| Amazon Web Services | Osaka | ap-northeast-3 | 1.23 | N/A | Good |
| Amazon Web Services | Cape Town | af-south-1 | 1.24 | N/A | Good |
| Scaleway | WAW2 Warsaw | pl-waw-2 | 1.24 | N/A | Good |
| Amazon Web Services | Seoul | ap-northeast-2 | 1.25 | N/A | Good |
| Amazon Web Services | Ningxia | cn-northwest-1 | 1.25 | N/A | Good |
| Microsoft Azure | Illinois | northcentralus | 1.25 | 0.52 | Good |
| OVHcloud | Warsaw | WAW1 | 1.25 | 0.42 | Good |
| Scaleway | DC5 PAR2 Paris | fr-par-4 | 1.25 | 0.25 | Good |
| Amazon Web Services | Tokyo | ap-northeast-1 | 1.27 | 0.91 | Good |
| Amazon Web Services | UAE | me-central-1 | 1.27 | N/A | Good |
| OVHcloud | Hillsboro | US-WEST-OR | 1.27 | 1.31 | Good |
| Microsoft Azure | Texas | southcentralus | 1.28 | 0.24 | Good |
| Microsoft Azure | Singapore | southeastasia | 1.30 | 0.02 | Average |
| OVHcloud | Roubaix | RBX | 1.30 | 0.29 | Average |
| Amazon Web Services | Singapore | ap-southeast-1 | 1.32 | 1.68 | Average |
| Amazon Web Services | Bahrain | me-south-1 | 1.33 | N/A | Average |
| Amazon Web Services | Frankfurt | eu-central-1 | 1.35 | 0.01 | Average |
| OVHcloud | Vint Hill | US-EAST-VA | 1.36 | 0.40 | Average |
| Scaleway | AMS1 Amsterdam | nl-ams-1 | 1.38 | 1.64 | Average |
| Scaleway | DC3 PAR1 Paris | fr-par-2 | 1.39 | 0.00 | Average |
| Amazon Web Services | Jakarta | ap-southeast-3 | 1.40 | 2.75 | Poor |
| Scaleway | AMS2 Amsterdam | nl-ams-2 | 1.40 | N/A | Poor |
| Amazon Web Services | Mumbai | ap-south-1 | 1.42 | N/A | Poor |
| Scaleway | DC4 Paris | fr-par-3 | 1.44 | 0.00 | Poor |
| Scaleway | DC2 PAR1 Paris | fr-par-1 | 1.45 | 0.01 | Poor |
| Amazon Web Services | Hyderabad | ap-south-2 | 1.46 | N/A | Poor |
| Scaleway | WAW1 Warsaw | pl-waw-1 | 1.50 | N/A | Poor |
| Scaleway | WAW3 Warsaw | pl-waw-3 | 1.50 | N/A | Poor |
Power Usage Effectiveness (PUE)
PUE is the industry standard metric for measuring datacenter energy efficiency. It's calculated by dividing the total facility energy by the IT equipment energy.
PUE = Total Facility Energy / IT Equipment Energy
PUE Ratings
<1.2: Excellent efficiency
1.2-1.3: Good efficiency
1.3-1.4: Average efficiency
>1.4: Poor efficiency
Why It Matters
- Lower PUE = less energy waste
- Reduces operational costs
- Smaller carbon footprint
- Industry benchmark for sustainability
Water Usage Effectiveness (WUE)
WUE measures how much water a datacenter uses to cool its IT equipment. It's expressed in liters of water per kilowatt-hour of IT equipment energy.
WUE = Annual Water Usage (L) / IT Equipment Energy (kWh)
WUE Ratings
<0.5 L/kWh: Excellent
0.5-0.8 L/kWh: Good
0.8-1.2 L/kWh: Average
>1.2 L/kWh: Poor
Cooling Technologies
- Free cooling (ambient air)
- Liquid cooling systems
- Immersion cooling
- Adiabatic cooling
Environmental Impact
Datacenter efficiency directly correlates with carbon emissions. Every 0.1 improvement in PUE can reduce carbon emissions by up to 10% depending on energy sources.
Benefits of Low PUE
- Reduced greenhouse gas emissions
- Lower environmental impact
- Sustainable cloud computing
- Progress toward net-zero goals
Benefits of Low WUE
- Reduced water consumption
- Less strain on local water resources
- Better for water-stressed regions
- Sustainable operations